MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10389
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 09:10 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5535
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
7143
1.34 KIPS |
|
|
Image Classification (I8)
|
99% |
8266
1.55 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2032
33.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2121
35.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2156
36.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
42118
51.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
95877
116.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96123
116.4 IPS |
|
|
Object Detection (F32)
|
100% |
4341
324.1 IPS |
|
|
Object Detection (F16)
|
100% |
5316
396.9 IPS |
|
|
Object Detection (I8)
|
97% |
4090
305.3 IPS |
|
|
Face Detection (F32)
|
100% |
14226
169.2 IPS |
|
|
Face Detection (F16)
|
97% |
12416
147.6 IPS |
|
|
Face Detection (I8)
|
96% |
12445
148.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
26629
206.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
41536
322.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
53117
411.9 IPS |
|
|
Style Transfer (F32)
|
100% |
87720
115.4 IPS |
|
|
Style Transfer (F16)
|
100% |
146505
192.7 IPS |
|
|
Style Transfer (I8)
|
100% |
146316
192.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9481
338.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19696
703.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18954
676.9 IPS |
|
|
Text Classification (F32)
|
100% |
1139
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
3894
5.60 KIPS |
|
|
Text Classification (I8)
|
96% |
4060
5.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3041
56.0 IPS |
|
|
Machine Translation (I8)
|
99% |
764
14.1 IPS |
